Quiz dotyczący równoległego generowania dźwięku SoundStorm

Odpowiedzi i wyjaśnienia pojawiają się w miarę rozwiązywania quizu.

1. What generation change distinguishes SoundStorm from the cited autoregressive acoustic baseline?
   • Removal of all learned neural components
   • A guarantee of a single unconditional step for every token level
   • Parallel prediction of acoustic-token positions with iterative refinement
   • A requirement to produce only one waveform sample
2. Which attention direction does the SoundStorm paper use within its modeled token sequence?
   • Uwaga dwukierunkowa
   • Only a mandatory causal left-to-right attention mask
   • No token interactions of any kind
   • Only a recurrent update without attention
3. Jakiego rodzaju reprezentację generuje SoundStorm?
   • Bezpośrednio surowe próbki przebiegów
   • Nuty MIDI
   • Transkrypcje tekstów
   • Dyskretne tokeny akustyczne z kodeka neuronowego
4. What hardware-scoped timing result is reported in the SoundStorm abstract?
   • Every device generates all audio in exactly 0.5 seconds
   • 30 seconds of audio generated in 0.5 seconds on a TPU-v4
   • 30 seconds of audio always requires two hours
   • No hardware or duration was identified
5. How does SoundStorm’s within-level iterative decoding use confidence information?
   • It retains selected confident token candidates according to its schedule
   • It guarantees confidence equals factual correctness
   • It keeps only tokens whose names are alphabetically first
   • It never predicts masked positions
6. Od czego zazwyczaj zależy SoundStorm w celu kontrolowania treści?
   • Tylko losowy dźwięk
   • Stała melodia
   • Osadzanie obrazów
   • Tokeny semantyczne z modeli takich jak AudioLM czy SPEAR-TTS
7. In the stated SoundStorm decoding hierarchy, when are finer RVQ levels sampled relative to coarser ones?
   • Before any coarser-level information is available
   • After the required coarser-level tokens have been sampled
   • Only after all waveform samples have been printed as text
   • Without any ordering or conditional dependencies
8. What input supplies speaker-voice information in the reported prompted dialogue setup, distinct from semantic content tokens?
   • Only the output filename
   • Only a numerical browser-tab count
   • A short acoustic prompt containing the speakers’ voices
   • A required image of a music score